scholarly journals Effects of Rural Restaurants’ Outdoor Dining Environment Dimensions on Customers’ Satisfaction: A Consumer Perspective

Foods ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 2172
Author(s):  
Mian Yang ◽  
Shixian Luo
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Tourism Development ◽  
Rural Tourism ◽  
Landscape Elements ◽  
Fundamental Knowledge ◽  
Catering Industry ◽  
Restaurant Managers ◽  
Consumer Perspective ◽  
Management Recommendations

The catering industry is one of the important industries that promote rural tourism development. Hence, rural restaurants have high research value. However, few studies have examined rural restaurants and their outdoor dining environments (ODE). In this study, from the perspective of consumers and using exploratory factor analysis, three ODE dimensions (quality and facilities, image and atmosphere, and landscape elements) were proposed that affect customers’ satisfaction with rural restaurants. Moreover, the differences between different customer groups in terms of the various dimensions were analyzed. The research results provide management recommendations and fundamental knowledge for rural restaurant managers and rural restaurant designers and articulate different consumer groups’ expectations with regard to rural restaurants.

scholarly journals The Impact of EU Sponsorship, Size, and Geographic Characteristics on Rural Tourism Development

2019 ◽  
Vol 11 (8) ◽  
pp. 2375 ◽  
Author(s):  
Anestis Fotiadis ◽  
Guych Nuryyev ◽  
Jennet Achyldurdyyeva ◽  
Anastasia Spyridou
Keyword(s):  
Factor Analysis ◽  
Success Factors ◽  
Response Rate ◽  
Tourism Development ◽  
Rural Tourism ◽  
Economic Conditions ◽  
Rural Enterprises ◽  
The Impact ◽  
Geographical Characteristics

The main purpose of this study was to investigate the factors that promote successful rural tourism development in light of EU sponsorship of rural tourism hosts. The paper examines the effect of the size and geographical characteristics of rural tourism hosts on their views towards rural tourism development. The paper employs factor analysis, t-tests, and ANOVA to analyze the data from the survey of the hosts. The survey was sent to 652 rural tourism hosts, of whom 174 replied, giving a response rate of 27%. The results show the following. Firstly, subsidies, leadership, and cooperation are viewed by the hosts as important factors. Secondly, sponsorship, size, and peripheral economic conditions influence rural tourism hosts’ views on success factors of rural enterprises.

The Development of a Scale to Measure Tourism-Phobia

2020 ◽  
pp. 217-236
Author(s):  
Francisco Rejón-Guardia ◽  
Nataša Marković ◽  
María Antonia García-Sastre
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Significant Role ◽  
Negative Impact ◽  
Sustainable Tourism ◽  
Tourism Development ◽  
Balearic Islands ◽  
Continuous Analysis ◽  
Sustainable Tourism Development ◽  
Tourist Satisfaction

The Balearic Islands in general, and Majorca in particular play a significant role in Spanish tourism but the tremendous growth in the number of tourists has led to the deterioration of the environment, a notable decrease in tourist satisfaction, and is having a negative impact on the welfare of residents. Aversion to and rejection of tourism among residents is popularly called tourism-phobia. This chapter studies the negative aspects which over-tourism is causing in the perception of both native and foreign residents of Majorca, as well as to propose a scale developed to measure tourism-phobia. Data for the study was gathered through a questionnaire, with a total of 149 valid responses. An exploratory factor analysis revealed four main underlying dimensions of tourism-phobia encompassing a number of different variables. The aim is for the scale to be used as part of continuous analysis of sustainable tourism development in Majorca, as well as in other destinations saturated by tourism.

Segmenting the Domestic Rural Tourists in India

2020 ◽  
Vol 24 (1) ◽  
pp. 23-36
Author(s):  
Nimit Chowdhary ◽  
Rahul Pratap Singh Kaurav ◽  
Shailja Sharma
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Rural Areas ◽  
Service Providers ◽  
Primary Objective ◽  
Rural Tourism ◽  
Rural India ◽  
Market Segments ◽  
Domestic Tourist

Rural tourism in India is increasingly becoming competitive. Customers expect better services and unique experiences. It is therefore essential for the service providers to better understand the expectations of the visitors and carefully match their offers. Segmentation and targeting of the market are accepted principles of business and there has been a lot of research on the basis of segmentation. The primary objective of this article is to identify the profile of the different clusters (popularly known as segments) of motivations of tourists traveling within rural India. The intention is to decipher the causative clusters, which influences the tourists to visit the rural areas. These variables are used to identify the various rural domestic tourist market segments. A self-administered instrument was used to collect the data. Four factors have been identified through exploratory factor analysis: socialization, escape, rural experience, and self-indulgence. After identifying factors, K-means clustering was used to segment the market. The researchers have identified two relevant segments of domestic rural tourists. These are family retreaters and rural escapists. The study advances the understanding of the Indian domestic rural tourism market. It will help policymakers and practitioners to design products and marketing programs matching the expectations of these targeted markets.

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

Subclinical Sadism and the Dark Triad

2019 ◽  
Vol 40 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Laura K. Johnson ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Personality Traits ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Dark Triad ◽  
Antisocial Personality ◽  
Factor Solution ◽  
Online Study ◽  
Antisocial Personality Traits

Abstract. The Dark Triad is a constellation of three antisocial personality traits: Machiavellianism, narcissism, and psychopathy. Recently, researchers have introduced a “Dark Tetrad” that includes subclinical sadism, although others suggest considerable overlap between psychopathy and sadism. To clarify the position of sadism within the Dark Triad, an online study was conducted with 615 university students. Exploratory factor analysis revealed that a six-factor solution fit the data best, representing Machiavellianism, psychopathy, physical sadism, verbal sadism, narcissism, and vicarious sadism. Furthermore, convergent validity was supported through sadism’s correlations with the HEXACO personality traits. The results support sadism’s inclusion within the Dark Tetrad as a unique construct but with some conceptual overlap with psychopathy.

Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations

2010 ◽  
Vol 26 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Fawzi S. Daoud ◽  
Amjed A. Abojedi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Clinical Sample ◽  
Brief Symptom Inventory ◽  
Factorial Structure ◽  
Symptom Inventory ◽  
Confirmatory Factor ◽  
Item Checklist ◽  
General Psychological Distress

This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

A Comparison of Simple Structure Rotation Criteria in Temporal Exploratory Factor Analysis for Event-Related Potential Data

Methodology ◽  
2019 ◽  
Vol 15 (Supplement 1) ◽  
pp. 43-60 ◽  
Author(s):  
Florian Scharf ◽  
Steffen Nestler
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Simple Structure ◽  
Ground Truth ◽  
Event Related Potential ◽  
Suitable Alternative ◽  
Factor Rotation ◽  
Rotation Methods ◽  
Simple Structure Rotation ◽  
Temporal Overlap

Abstract. It is challenging to apply exploratory factor analysis (EFA) to event-related potential (ERP) data because such data are characterized by substantial temporal overlap (i.e., large cross-loadings) between the factors, and, because researchers are typically interested in the results of subsequent analyses (e.g., experimental condition effects on the level of the factor scores). In this context, relatively small deviations in the estimated factor solution from the unknown ground truth may result in substantially biased estimates of condition effects (rotation bias). Thus, in order to apply EFA to ERP data researchers need rotation methods that are able to both recover perfect simple structure where it exists and to tolerate substantial cross-loadings between the factors where appropriate. We had two aims in the present paper. First, to extend previous research, we wanted to better understand the behavior of the rotation bias for typical ERP data. To this end, we compared the performance of a variety of factor rotation methods under conditions of varying amounts of temporal overlap between the factors. Second, we wanted to investigate whether the recently proposed component loss rotation is better able to decrease the bias than traditional simple structure rotation. The results showed that no single rotation method was generally superior across all conditions. Component loss rotation showed the best all-round performance across the investigated conditions. We conclude that Component loss rotation is a suitable alternative to simple structure rotation. We discuss this result in the light of recently proposed sparse factor analysis approaches.

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